Senior Lead Data Analyst

NerdWallet

full-time

Posted on: 8/27/2025

Origin: • 🇺🇸 United States

✨ AI Apply

💰 $121,000 - $228,000 per year

Senior

AirflowPythonSQL

About the role

The Senior Lead Data Analyst is a high-impact role responsible for shaping strategy and driving execution of advanced analytics across product, business, and platform domains
Owns highly complex initiatives, mentors cross-functional teams, and steers the Analytics & BI function toward scalable, data-driven decision-making
Functions as a technical expert, strategic thinker, and organizational bridge-builder
Lead end-to-end delivery of strategic analytics programs spanning multiple teams or business domains
Architect scalable and reusable analytics solutions, including data pipelines, semantic models, and KPI frameworks
Design and evangelize measurement strategies that drive alignment on goals and performance metrics
Guide business-critical decision-making with deep, proactive insights using SQL, Looker, and statistical modeling
Serve as an expert advisor to executives and senior leaders on data strategy and analytics capabilities
Influence cross-functional partners to prioritize and integrate data-informed decision-making across initiatives
Drive the evolution of internal analytics infrastructure, standards, and governance
Coach and mentor analysts across teams; lead communities of practice and best-in-class knowledge sharing
Represent the Analytics function in cross-org strategic planning and OKR development

8+ years of progressively senior experience in data analytics, BI, or data science
Demonstrated ability to lead large-scale, cross-functional analytics initiatives with measurable business impact
Advanced SQL fluency and strong experience with Looker (or similar BI platforms) at the data modeling layer
Deep expertise in analytics architecture: reusable pipelines, event taxonomies, semantic layers, KPI governance
Strong track record in designing and implementing enterprise-wide measurement and experimentation strategies
Strategic thinking and business acumen: ability to connect high-level objectives with tactical data execution
Skilled at navigating ambiguity and setting direction for others in complex, fast-paced environments
Highly effective communicator and influencer, including at the executive level
Strong mentoring and leadership presence; builds capability through coaching, feedback, and enablement
Embodies self-awareness, resilience, and thoughtfulness in interpersonal dynamics
Preferred: Experience operating in platform analytics, data governance, or embedded enterprise analytics roles
Preferred: Proficiency in Python or R for statistical modeling or automation
Preferred: Experience with dbt, Airflow, or similar tools for data pipeline development and orchestration
Preferred: Familiarity with causal inference, machine learning, or advanced forecasting methods
Preferred: Track record of leading change management or transformation efforts within data organizations